Need the other direction?
Convert an inline Zod schema into JSON Schema, OpenAPI 3.0, or AJV-ready output.
Zod to JSON Schema ConverterInput
Output
import { z } from "zod";
export const UserResponseSchema = z.object({
id: z.string(),
name: z.string(),
email: z.string(),
verified: z.boolean(),
roles: z.array(z.string()),
profile: z.object({
website: z.string(),
timezone: z.null(),
}).strict(),
projects: z.array(z.object({
active: z.boolean(),
archivedAt: z.null().optional(),
id: z.number().int(),
name: z.string(),
}).strict()),
}).strict();
export type UserResponse = z.infer<typeof UserResponseSchema>;Review generated schemas before pasting them into production code.
json to zod
JSON to Zod converter and schema generator
Paste a JSON object, array, API response, form payload, or fixture and FrameworkKit generates a Zod schema with inferred TypeScript types. The browser-only converter is built for frontend and full-stack developers who need runtime validation without leaving the page.
Already have TypeScript types?
Convert interfaces and type aliases into Zod schemas when the source shape lives in TypeScript.
TypeScript to Zod ConverterCommon use cases
Use this JSON to Zod schema generator when you need a fast starter for API response validation, submitted form data, config files, mock data, or test fixtures.
- Validate fetch responses at the app boundary.
- Generate a first-pass form validation schema.
- Create Zod validators from real API examples.
- Document JSON payload shapes as TypeScript runtime contracts.
Generated output
Output includes a Zod object, nested arrays and objects, optional missing fields in array samples, strict object mode when enabled, and an inferred TypeScript export for downstream API or form code.
Examples before production
Start with the JSON to Zod examples when you want to compare nested API responses, product payloads, nullable fields, arrays, and optional keys before pasting your own data.
Review before shipping
A JSON sample cannot prove every business rule. After generation, review optional versus nullable fields and add Zod refinements for emails, URLs, UUIDs, datetimes, enum values, string lengths, numeric ranges, and defaults where your contract requires them.
How the JSON to Zod converter works
FrameworkKit reads the pasted JSON value, walks nested objects and arrays, maps each JSON type to the closest Zod schema starter, then renders copy-ready TypeScript. The converter keeps the first screen focused on the live input and output, while this guide explains how to review the generated schema before production.
1. Paste JSON
Use an API response, form payload, config object, fixture, or mock sample as the source shape.
2. Generate Zod
The tool converts strings, numbers, booleans, nulls, arrays, and nested objects into Zod schema code.
3. Review rules
Add app-specific Zod refinements such as email, URL, UUID, datetime, min, max, enum, and defaults.
4. Copy TypeScript
Use the generated schema and optional z.infer export at API, form, route handler, or service boundaries.
JSON type to Zod mapping
| JSON sample value | Generated Zod starter | Production review |
|---|---|---|
| "name": "Ada" | z.string() | Add .min(), .max(), .email(), .url(), .uuid(), or .datetime() when the field has a known format. |
| "count": 3 | z.number().int() | Add .min(), .max(), .positive(), or .nonnegative() when the API contract limits the number. |
| "price": 19.99 | z.number() | Review decimal precision, currency fields, and nonnegative constraints before shipping. |
| "active": true | z.boolean() | Keep as boolean unless the source API sends string booleans that need preprocessing. |
| "timezone": null | z.null() | Convert to .nullable() around the expected type when non-null values are valid too. |
| "tags": ["admin"] | z.array(z.string()) | Use z.enum() for closed sets or add .min() when arrays must include at least one item. |
| "profile": { ... } | z.object({ ... }) | Enable strict objects when extra keys should be rejected at runtime. |
| mixed or empty arrays | z.array(z.unknown()) or union starters | Review heterogeneous arrays manually and replace unknown with the real item schema. |
Real JSON to Zod example
A representative API response is the best input for a first-pass schema. Generate the starter, then tighten format and business rules where a single JSON sample cannot tell the whole story.
JSON input
{
"id": "usr_123",
"email": "ada@example.com",
"role": "admin",
"verified": true,
"projects": [
{ "id": 1, "name": "Compiler notes", "archivedAt": null },
{ "id": 2, "name": "Analytical engine" }
]
}Zod schema output
import { z } from "zod";
export const UserResponseSchema = z.object({
id: z.string(),
email: z.string(),
role: z.string(),
verified: z.boolean(),
projects: z.array(z.object({
archivedAt: z.null().optional(),
id: z.number().int(),
name: z.string(),
}).strict()),
}).strict();
export type UserResponse = z.infer<typeof UserResponseSchema>;Use the schema in TypeScript
Import Zod, parse unknown JSON at the boundary, and let z.infer keep runtime validation and TypeScript types aligned.
const json: unknown = await response.json(); const user = UserResponseSchema.parse(json); // user is typed as UserResponse after validation.
What to refine after generation
JSON samples reveal shape, not intent. Add stricter Zod methods where the real contract is narrower than the observed value.
- Use .email(), .url(), .uuid(), and .datetime() for known string formats.
- Use z.enum() for roles, status values, currencies, and fixed option sets.
- Use .optional() for omitted keys and .nullable() for values that may be null.
- Use .min(), .max(), .int(), and .nonnegative() for business constraints.
Why FrameworkKit for this query
The page is built around the exact json to zod intent: a live converter first, then examples, production caveats, privacy details, and Zod-specific guides.
- Browser-only conversion for private payloads.
- Strict object mode for safer runtime contracts.
- Optional field inference for arrays of object samples.
- Copy-ready schema plus inferred TypeScript type output.
Next steps in the cluster
Use the supporting pages when your JSON to Zod schema needs API validation patterns, form rules, error handling, or library comparison context.
What this tool does
Convert a JSON sample into a copy-ready Zod schema and inferred TypeScript type without uploading data.
Validate API responses
Paste a real API response into the JSON to Zod converter and generate a parser for the fetch boundary.
Seed form validation
Start from submitted form payloads, then add app-specific Zod refinements for email, length, enum, and required fields.
Document payload shapes
Turn sample objects into readable TypeScript runtime contracts for teammates without uploading JSON to a server.
JSON to Zod resources
Use the examples, guides, and comparison pages together when turning sample JSON into production validation code.
JSON to Zod schema examples
Open realistic API and product payload examples before adapting the JSON to Zod schema output.
TypeScript to Zod Converter
Convert TypeScript interfaces and type aliases into Zod schemas when the source shape already lives in code.
Zod to JSON Schema Converter
Use the canonical online converter when an existing Zod schema needs JSON Schema, AJV, or OpenAPI output.
Validate API responses with Zod
Validate API responses, request bodies, and fetch boundaries with Zod schemas in TypeScript.
Zod parse vs safeParse
Choose between parse, safeParse, parseAsync, and safeParseAsync for TypeScript validation flows.
Zod safeParse
Validate unknown data without throwing, narrow the result type, and format safeParse errors.
Zod safeParse error messages
Format safeParse failures, field errors, and API validation responses in TypeScript.
Zod refine vs superRefine
Add custom validation, async checks, and field-level error paths after generating a starter schema.
Zod nativeEnum in Zod 4
Migrate z.nativeEnum patterns to z.enum, validate TypeScript enums, and avoid enum value mistakes.
Use JSON to Zod for form validation
Start from a submitted form payload, then add business rules such as email, length, and enum checks.
Zod to JSON Schema for OpenAPI
Publish Zod API schemas as OpenAPI-compatible contracts when teams need portable documentation.
ZodError flatten vs format
Shape validation errors with z.flattenError() for forms and z.treeifyError() for nested data in Zod 4.
Zod coerce for query params
Turn string query params and form fields into numbers, dates, and booleans, and avoid the coerce.boolean trap.
Zod email validation (z.email)
Validate emails with the top-level z.email() in Zod 4, add custom messages, and migrate off z.string().email().
Zod transform and pipe
Reshape validated data with transform, chain a second check with pipe, and use z.codec for reversible conversions.
Zod vs JSON Schema
Choose between TypeScript-first runtime validation and portable schema contracts.
Zod vs Yup vs Valibot
Compare TypeScript validation libraries for API boundaries, forms, server actions, and bundle tradeoffs.
Privacy model
JSON to Zod Converter runs in your browser. FrameworkKit does not send tool input or generated output to a server in the current app.
Guides
Comparisons
Related tools
FAQ
Does JSON to Zod upload my JSON?
No. The FrameworkKit JSON to Zod converter runs in your browser and does not send input or generated output to a backend.
Can generated schemas be used in production?
Use the generated Zod schema as a strong starter, then review business rules such as string lengths, enums, formats, and custom validation before shipping.
Does it infer TypeScript types too?
Yes. The output includes a Zod schema and an optional z.infer TypeScript type export.
How does it handle optional and nullable fields?
Null sample values start as nullable review points, while keys missing from some objects in an array can be marked optional when optional field inference is enabled. Review both cases before using the schema at an API or form boundary.
Does it detect email, URL, UUID, or date strings?
The converter keeps sample strings as z.string() so the output stays predictable. Add .email(), .url(), .uuid(), .datetime(), .min(), or .max() after generation when the API contract promises those formats.